senior devops engineer

business analyst

bi analyst

data analyst

data scientist

data engineer

Caregenix Solutions

<p>We're Hiring: <b>ETL Engineer</b> (Remote &ndash; Full Time)</p><p>Company: CareGenix Solutions</p><p>Location: Remote</p><p>Experience: <b>3+ Years</b></p><p>Type: Full-Time</p><p>Caregenix Solutions, a fast-growing healthcare tech company, is seeking a skilled ETL Engineer to design and maintain robust data pipelines that power real-time insights and analytics.</p><p>Key Responsibilities:</p><p>Build and manage scalable ETL/ELT pipelines using AWS services (Glue, Lambda, S3, EMR, Redshift, etc.).</p><p>Design and optimize data models and databases (Redshift, Athena, RDS).Ingest data from diverse sources and ensure quality through validation checks.</p><p>Collaborate with teams to deliver reliable, insight-driven data solutions.Monitor pipeline performance and troubleshoot as needed.</p><p>Follow best practices for data security and governance.Requirements6+ years in Data Engineering or similar roles.</p><p>Strong in SQL and Python or Scala.Hands-on experience with AWS data tools: Glue, Redshift, EMR, Athena, Kinesis, etc.</p><p>Experience with workflow/orchestration tools (Airflow, Step Functions).Solid knowledge of data warehousing, performance tuning, and big data.</p><p>Familiarity with CI/CD, Git, and IaC tools (Terraform, CloudFormation).Bachelor&rsquo;s in Computer Science, Engineering, or related field.</p><p>To Apply Send your resume to careers@caregenix.solutions</p><p>Subject Line: ETL Engineer</p><p>Be part of a team transforming healthcare through data. We&rsquo;d love to hear from you</p><p>Job Type: Full-time</p><p>Pay: Up to Rs400,000.00 per month</p><p>Application Question(s):</p><ul><li>what is your expected pay?</li></ul><p>Experience:</p><ul><li>Data/ ETL : 2 years (Required)</li></ul><p>Work Location: Remote</p>

Data Engineer

Confiz

<div><p>We are looking for a Principal Data Engineer, responsible for leading data engineering teams. He/she will provide guidance, mentorship, and technical expertise to team members, fostering a collaborative and innovative work environment. Collaboration is key for a Principal Data Engineer as he/she will work closely with stakeholders to define project requirements. Therefore, a commitment to collaborative problem solving, sophisticated design, and the creation of quality products is essential.</p>
<p><b>Responsibilities:</b></p>
<ul><li>Collaborate with Big Data Solution Architects to design, prototype, implement, and optimize data ingestion pipelines so that data is shared effectively across various business systems.</li>
<li>Build &amp; maintain ETL/ELT Ingestion pipelines and analytics solutions using cloud technologies.</li>
<li>Ensure the design, code and procedural aspects of solution are production ready, in terms of operational, security and compliance standards.</li>
<li>Implement monitoring and logging solutions to ensure data pipelines run smoothly and issues are promptly identified.</li>
<li>Ensure all data processing complies with security policies and data protection regulations.</li>
<li>Takes the lead in ensuring that data is accurate, consistent, and reliable.</li>
<li>Participate in day-to-day project and production delivery status meetings, and provide technical support for faster resolution of issues.</li>
<li>Work with Stakeholders and Understand their Requirements</li>
</ul>
<p><b>Qualifications</b></p>
<ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent work experience).</li>
<li>5+ years of overall experience in data engineering &amp; data warehousing domain focusing on building large scale data pipelines</li>
<li>3+ years' experience in Big Data Distributed systems such as Microsoft Fabric, Databricks, AWS EMR</li>
<li>Strong experience in developing data pipelines using PySpark and ETL tools like ADF, Talend</li>
<li>Proficiency in Python &amp; SQL</li>
<li>Solid understanding of data modelling, ETL processes, and best practices in data warehousing domain</li>
<li>Strong problems solving and critical thinking skills</li>
<li>Experience of writing effective and maintainable unit and integration tests for ingestion pipelines.</li>
<li>Working knowledge of CI/CD pipelines for deployments.</li>
<li>Working knowledge of using code version control repositories like Git.</li>
<li>Knowledge of designing, developing, and managing Kafka-based data pipelines</li>
<li>Knowledge of security best practices including encryption of sensitive data, encryption at rest and encryption in flight.</li>
</ul>
<p>We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.</p>
<p>What makes Confiz stand out is our focus on processes and culture. Confiz is <b>ISO 9001:2015</b> (QMS), <b>ISO 27001:2022</b> (ISMS), <b>ISO 20000-1:2018</b> (ITSM), <b>ISO 14001:2015</b> (EMS), <b>ISO 45001:2018 </b>(OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.</p>
<p>People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.</p>
<p>To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</p></div><p></p>

Principal Data Engineer

ibex

<div>
 We are seeking a highly motivated and responsible
 <strong>
  Data Engineer
 </strong>
 to join our dynamic team. This role requires hands-on experience in building scalable data pipelines, managing structured and unstructured databases, and supporting end-to-end data operations. The ideal candidate will bring strong problem-solving skills, a collaborative mindset, and a commitment to data excellence.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and manage reliable and scalable data pipelines.
  </li>
  <li>
   Clean, validate, and transform data from multiple sources for analytics and operational use.
  </li>
  <li>
   Work with large datasets and ensure high data quality and availability.
  </li>
  <li>
   Develop and maintain ETL workflows using standard tools and scripting.
  </li>
  <li>
   Automate data extraction, transformation, and loading processes across systems.
  </li>
  <li>
   Monitor and optimize performance of data workflows for speed and efficiency.
  </li>
  <li>
   Develop, maintain, and optimize complex SQL queries, stored procedures, functions, and views.
  </li>
  <li>
   Design and implement relational database schemas and indexing strategies.
  </li>
  <li>
   Ensure data integrity, security, and compliance within SQL Server environments.
  </li>
  <li>
   Work with MongoDB for storing and querying unstructured or semi-structured data.
  </li>
  <li>
   Design document-based data models and manage performance tuning for MongoDB.
  </li>
  <li>
   Handle replication and backup strategies where applicable.
  </li>
  <li>
   Analyze complex data requirements and translate them into efficient technical solutions.
  </li>
  <li>
   Identify data-related issues, perform root-cause analysis, and deliver timely resolutions.
  </li>
  <li>
   Work closely with data analysts, software engineers, and business stakeholders to understand requirements.
  </li>
  <li>
   Participate in code reviews, team planning sessions, and cross-functional meetings.
  </li>
  <li>
   Take ownership of assigned tasks with accountability and attention to detail.
  </li>
  <li>
   Exhibit a proactive approach to delivering solutions and supporting team goals.
  </li>
  <li>
   Contribute to architectural discussions and recommend improvements based on industry best practices.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
  </li>
  <li>
   2&ndash;3 years of experience in data engineering or database development roles.
  </li>
  <li>
   Strong proficiency in SQL Server (T-SQL, indexing, optimization).
  </li>
  <li>
   Hands-on experience with MongoDB or other NoSQL technologies.
  </li>
  <li>
   Familiarity with data pipeline tools and ETL development.
  </li>
  <li>
   Working knowledge of Python or similar scripting languages.
  </li>
  <li>
   Understanding of data modeling, normalization, and data warehousing concepts.
  </li>
  <li>
   Strong analytical thinking and problem-solving skills.
  </li>
  <li>
   Excellent communication and teamwork abilities.
  </li>
 </ul>
</div>


Data Engineer, Tech

CureMD

<div><div>Job Overview:</div><div></div><div>
As a Data Engineer specializing in Extract, Transform, and Load (ETL) processes, you'll design and implement data integration solutions, ensuring smooth and efficient data flow within our systems. Your role involves optimizing data pipelines, handling large datasets, and collaborating with cross-functional teams to meet data processing needs.<br>
<br>
Job Responsibilities:</div><ul><li><div>
Act as a trusted technical advisor to users, resolving complex database migration challenges, especially within the context of healthcare data.</div></li><li><div>
Develop and deliver best practices recommendations, sample code, and technical presentations tailored to various levels of business and technical stakeholders.</div></li><li><div>
Communicate effectively with clients to gather project requirements and ensure successful project delivery from start to finish.</div></li><li><div>
Migrate transactional database systems such as SQL Server (2008 and above), PostgreSQL, and MySQL to the CureMD Platform.</div></li><li><div>
Data scraping using Python.</div></li><li><div>
Collaborate with healthcare clients to understand technical requirements and assist in designing, planning, managing, and troubleshooting the data migration process.</div></li></ul><div></div><div>
Qualifications:</div><ul><li><div>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.</div></li><li><div>
1-3 years of experience with data migration strategies, particularly in migrating large-scale production systems in both on-premises/data center environments and cloud migration scenarios.</div></li><li><div>
Experience with database technologies, particularly SQL Server 2008 and above, PostgreSQL, and MySQL.</div></li><li><div>
Proficiency in SQL with strong analytical and problem-solving skills.</div></li><li><div>
Data scraping experience in Python.</div></li><li><div>
Excellent communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.</div></li><li><div>
Experience in the healthcare IT domain is highly preferred.</div></li><li><div>
Background in O/A levels is an advantage.</div></li><li><div>
Familiarity with database management tools for backups, recovery, snapshot management and partitioning.</div></li><li><div>
Hands-on experience in developing ELT or ETL workflows.</div></li></ul><div></div><div>
Compensation and Benefits:</div><div></div><div>
   Financial:</div><ul><li><div>
Competitive salary and bi-annual bonus.</div></li><li><div>
Fast track and uncapped career growth for high performers.</div></li><li><div>
Company-sponsored vehicle financing (car and bike).</div></li><li><div>
Interest-free loans.</div></li><li><div>
Provident Fund: CureMD matches up to 8% of your base salary.</div></li></ul><div></div><div>
   Health and Wellness:</div><ul><li><div>
In-house clinic with a team of certified male and female doctors with 24/7 telemedicine service.</div></li><li><div>
Hospital treatment monitoring by company doctors.</div></li><li><div>
Comprehensive health coverage for your immediate family (outpatient, inpatient, maternity and parents' inpatient).</div></li><li><div>
Exclusive health benefits and discounts at top class clinics and labs.</div></li></ul><div></div><div>
   Supportive Workplace:</div><ul><li><div>
Pick-up and drop-off services for female employees.</div></li><li><div>
In-house daycare facility.</div></li><li><div>
In-house gym and recreational area to unwind.</div></li></ul><div></div><div>
   Continued Learning:</div><ul><li><div>
Company-sponsored trainings, workshops, development programs and retreats.</div></li><li><div>
Paid specialized trainings/certifications.</div></li></ul><div></div><div>
The Difference You&rsquo;ll Make:</div><div><br>
At CureMD, every role, whether senior or junior, plays a pivotal part in transforming healthcare. By joining our innovative team, you&rsquo;ll contribute to groundbreaking technology that directly impacts patient care, enhances healthcare efficiency, and saves lives globally. Your skills and passion will drive meaningful change, helping us deliver solutions that support healthcare professionals in critical, real-time settings. Together, we&rsquo;re not just advancing technology &mdash; we&rsquo;re making a tangible difference in people&rsquo;s lives. Together, let&rsquo;s save lives.</div></div>

Data Engineer - ETL

<div><p>We are undergoing a significant data transformation to ensure that accurate and consistent data is available precisely when and where it's needed.</p>
<p><b>Responsibilities:</b></p>
<ul><li>Write PySpark and SQL scripts to validate data pipelines, transformations, and integrations.</li>
<li>Design and run tests for data validation, storage, and retrieval using Azure services like Data Lake, Synapse, and Data Factory, adhering to industry standards.</li>
<li>Continuously enhance automated tests as new features are developed, ensuring Participate in data reconciliation and verify Data Quality frameworks to maintain data accuracy, completeness, and consistency across the platform.</li>
<li>Formulate and maintain test strategies&mdash;including smoke, performance, functional, and regression testing&mdash;to ensure data processing and ETL jobs meet requirements.</li>
<li>Collaborate with development teams to assess changes in data workflows and update test cases to preserve data integrity.</li>
<li>Share knowledge and best practices by collaborating with business analysts and technology teams to document testing processes and findings.</li>
<li>Communicate testing progress effectively with stakeholders, highlighting issues or blockers, and ensuring alignment with business objectives.</li>
<li>Maintain a comprehensive understanding of the Azure Data Lake platform's data landscape to ensure thorough testing coverage.</li>
</ul>
<p><b>Requirements:</b></p>
<ul><li>Bachelor&rsquo;s degree in computer science or related discipline</li>
<li><b>3-6 years of hands-on experience in Data Engineering</b> particularly in Data Lake environments on Azure's cloud platform.</li>
<li>Proficient in Azure Data Factory, Azure Synapse Analytics and Databricks for big data processing and scaled data quality checks.</li>
<li>Proficiency in SQL, capable of writing and optimizing both simple and complex queries for data validation and testing purposes.</li>
<li>Proficient in PySpark, with experience in data manipulation and transformation, and a demonstrated ability to write and execute test scripts for data processing and validation.</li>
<li>Hands-on experience with Functional &amp; system integration testing in big data environments, ensuring seamless data flow and accuracy across multiple systems.</li>
<li>Knowledge and ability to design and execute test cases in a behaviour-driven development environment.</li>
<li>Fluency in Agile methodologies, with active participation in Scrum ceremonies and a strong understanding of Agile principles.</li>
<li>Familiarity with tools like Jira, including experience with X-Ray or Jira Zephyr for defect management and test case management.</li>
<li>Proven experience working on high-traffic and large-scale software products, ensuring data quality, reliability, and performance under demanding conditions.</li>
<li>Identify and resolve issues in complex Big Data environments, ensuring data accuracy and system efficiency.</li>
<li>Initiate and manage tasks, delivering high-quality results within deadlines in a dynamic setting.</li>
<li>Confidently challenge existing assumptions and processes to enhance data engineering and QA practices.</li>
<li>Maintain organized testing schedules and documentation, ensuring thorough coverage of all scenarios.</li>
<li>Exhibit strong interpersonal skills, working effectively in cross-functional, multicultural teams with minimal supervision.</li>
<li>Comfortable in Agile and Scrum environments, proficient with tools like Jira, and adaptable to changing priorities.</li>
<li>Manage multiple projects simultaneously, demonstrating strong planning and organizational skills to ensure timely task completion.</li>
</ul>
<p>We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.</p>
<p>What makes Confiz stand out is our focus on processes and culture. Confiz is <b>ISO 9001:2015</b> (QMS), <b>ISO 27001:2022</b> (ISMS), <b>ISO 20000-1:2018</b> (ITSM), <b>ISO 14001:2015</b> (EMS), <b>ISO 45001:2018 </b>(OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.</p>
<p>People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.</p>
<p>To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</p></div><p></p>

Data Engineer in Test

Rapid Labs

<p><b>Senior Full Stack Machine Learning Engineer</b></p><p><b>About Rapid Labs</b></p><p>Rapid Labs is a US based AI startup focused on building production ready, practical machine learning systems that solve real operational problems. We partner with businesses to design and deploy AI solutions that deliver measurable outcomes, not experiments or hype driven prototypes.</p><p>Our culture values ownership, engineering excellence, and clear thinking. We work in fast moving, ambiguous environments where strong fundamentals and real world execution matter more than buzzwords.</p><p><b>About the Role</b></p><p>We are hiring a Senior Full Stack Machine Learning Engineer to own the design, development, and operation of production grade machine learning systems. This role is centered on applied and classical machine learning, not LLM only or prompt driven workflows.</p><p>You will work close to the problem space, translating messy operational and business challenges into reliable ML systems that run in production. This is a hands on role for engineers who enjoy building, deploying, and improving real systems in the cloud and taking responsibility for outcomes.</p><p><b>What You Will Do</b></p><p><b>Build and Own End to End ML Systems</b></p><ul><li>Own the full machine learning lifecycle from raw data to deployed, monitored, and continuously improving models</li><li>Design predictive, prescriptive, and optimization solutions for use cases such as manufacturing operations, predictive maintenance, quality analytics, and supply chain efficiency</li><li>Apply classical ML and statistical methods including time series forecasting, anomaly detection, regression, classification, clustering, probabilistic modeling, and optimization</li></ul><p><b>Engineer Strong Data and Feature Pipelines</b></p><ul><li>Build reliable ETL and ELT pipelines for batch and near real time ML workloads</li><li>Perform exploratory data analysis to understand data quality, distributions, bias, and signal</li><li>Design feature pipelines and feature stores that keep training and inference consistent</li><li>Integrate data from APIs, databases, and event streams with strong validation, schema control, and observability</li></ul><p><b>Ship and Operate Production ML</b></p><ul><li>Deploy models as scalable services using APIs, batch jobs, or streaming inference</li><li>Implement monitoring for model performance, drift, data quality, and system health</li><li>Work closely with platform and software teams to deliver secure, reliable, and cost efficient systems</li><li>Help define and enforce MLOps standards including CI CD, versioning, reproducibility, and rollback strategies</li></ul><p><b>Lead Technically and Collaborate Effectively</b></p><ul><li>Turn ambiguous business problems into clear ML problem statements, success metrics, and delivery plans</li><li>Make sound technical decisions on model selection, evaluation methods, and trade offs</li><li>Communicate results, risks, and limitations clearly to stakeholders using dashboards, visualizations, and documentation</li><li>Mentor junior engineers and raise the bar for ML engineering practices at Rapid Labs</li></ul><p><b>What We Are Looking For</b></p><p><b>Must Have</b></p><ul><li>Seven or more years of experience across machine learning engineering, data engineering, and production systems</li><li>At least five years of hands on experience delivering end to end machine learning solutions in production</li><li>Strong depth in classical machine learning and applied statistics beyond generative AI focused work</li><li>Solid understanding of evaluation techniques, validation strategies, bias variance trade offs, and failure modes</li><li>Advanced Python skills for production ML including clean code, testing, packaging, and performance tuning</li><li>Strong SQL skills and experience designing data models for analytics and ML</li><li>Three or more years of cloud experience with GCP preferred and AWS acceptable</li><li>Hands on experience with BigQuery, Cloud Storage, Dataflow or Apache Beam, Airflow or Cloud Composer, and containerized deployments using Docker and Kubernetes or managed equivalents</li><li>Experience operationalizing ML using tools such as MLflow, CI CD pipelines, workflow orchestration, and monitoring systems</li><li>Proven ability to monitor, debug, and improve models after deployment including drift detection and retraining</li><li>Strong problem solving skills with the ability to translate business needs into ML outcomes</li><li>Clear and confident communication skills with both technical and non-technical stakeholders</li><li>Experience working with cross functional teams including engineering, operations, and product</li></ul><p><b>Nice to Have</b></p><ul><li>Experience in manufacturing, industrial systems, or supply chain domains</li><li>Ownership of a technical roadmap or AI product lifecycle from planning to delivery</li><li>GCP or AI and ML related professional certifications</li><li>Background in consulting or client facing roles</li><li>Some exposure to GenAI or LLMs is welcome when combined with strong classical ML fundamentals, with LLMs used as supporting components rather than the core focus</li></ul><p><b>Salary &amp; Benefits</b></p><ul><li>Competitive salary and fringe benefits.</li><li>Paid Time off</li><li>Leaves encashment</li><li>EOBI</li><li>Professional Development</li><li>Career Advancement</li><li>Team Building Activities</li><li>Innovative Work Environment</li><li>Work-Life Balance</li><li>Company trips</li><li>Wellness Programs</li><li>Performance based promotion</li></ul><p><b>Location: </b></p><p><b>Lahore Office, Islamabad Office, or Remote (Flexible)</b></p><p>This role offers flexibility in how you work. Candidates may choose to join our <b>Lahore office</b>, work from our <b>Islamabad office</b>, or operate <b>fully remote</b>, depending on what works best for them.</p><p><b>Office Hours: 05:00 PM to 02:00 AM (Monday to Friday) </b></p><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>What is the duration of your notice period in days?</li><li>Do you have 7+ years of experience as a Senior Full Stack Machine Learning Engineer?</li></ul><p>Experience:</p><ul><li>Senior Full Stack Machine Learning Engineer: 7 years (Preferred)</li></ul><p>Language:</p><ul><li>English fluently (Preferred)</li></ul><p>Work Location: In person</p>

Senior Full Stack Machine Learning Engineer

Tajir

<div><h2 class="jobSectionHeader"><b>About Tajir</b></h2><p>
Our mission is to make a significant portion of the economy of Pakistan radically more efficient.</p><p>
Stores in Pakistan have been buying products in the same way for nearly a century. Why should 20 trucks deliver to the same store in a single day? Why do people travel on bikes, needlessly burning fuel, to collect orders on scraps of paper? Why do store owners wait restlessly for someone to visit once a week to collect an order?</p><p>
Tajir is a radical break from the past. We offer an app where stores can buy everything they need, delivered reliably the next day. We drastically reduce the number of vehicles on the road with efficient, centralized delivery, so both store owners and manufacturers enjoy higher profits. With $150B in purchases made by retailers annually, even modest efficiency gains have an outsized economic impact.</p><p>
We are backed by Kleiner Perkins (early investors in Google, Amazon) and Y Combinator (early investors in Coinbase, Airbnb, Dropbox). Learn more about us on Forbes and Geo News.</p><p></p><h2 class="jobSectionHeader"><b>
What you&rsquo;ll do</b></h2><p>
Tajir has real-time data on customer preferences that no wholesaler or distributor has, that powers an unrivaled customer experience. Data Scientists at Tajir leverage this data to design algorithms and enable rapid data-driven decisions.</p><p>
Expect to ship code within your first week of joining, then take on more and more responsibility quickly. Everyone on our team fondly remembers their first few months at Tajir as a time of rapid personal growth!</p><p>
Expect to stay on the bleeding edge of AI tooling. Tajir grants Claude Code and Cursor access to every engineer. We&rsquo;re actively using AI to accelerate our own engineering workflows and develop exciting products for our customers.</p><p></p><h2 class="jobSectionHeader"><b>
What we are looking for</b></h2><ul><li><p>
You are humble. You treat others with the same kindness, patience, and respect, regardless of seniority, class, or gender.</p></li><li><p>
You are hungry to learn.</p></li><li><p>
You are excited at the chance to meet our customers, to learn from them and help us decide what to build next.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Requirements</b></h2><ul><li><p>
Strong math ability.</p></li><li><p>
Open to candidates at any stage of their career.</p></li><li><p>
Willingness to learn SQL and Python.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
(Very, very) Nice to have</b></h2><ul><li><p>
You have built something cool outside of university or professional life.</p></li><li><p>
You have made a substantial contribution to open source code.</p></li><li><p>
You have interviewed one of our customers and asked them what praise and complaints they have for us.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Application stages</b></h2><ul><li><p>
Application submission</p></li><li><p>
Onsite test</p></li><li><p>
Take home task</p></li><li><p>
Final interview</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Application Deadline</b></h2><p>
Mar 15, 2026</p><p></p><p><b>
Note: </b>This is a full-time, on-site role in Lahore. All in-person stages of the recruitment process, test and interview, will be held here in Lahore as well.</p></div><p></p>

Data Scientist

Explore 268+ Data engineer in Lahore this February. Find roles across top companies and apply now to boost your career.